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portada Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications
Type
Physical Book
Author
Publisher
Year
2019
Language
English
Pages
168
Format
Hardcover
Dimensions
23.9x16.3x1.5 cm
Weight
0.39 kg.
ISBN13
9781138087453
Edition No.
1
Categories

Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications

Imriyas Kamardeen (Author) · Routledge · Hardcover

Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications - Kamardeen, Imriyas

New Book Imported to Taiwan
Delivery: 21 Oct - 29 Oct Shipping: 4 to 5 business days.
NT$ 8,091
NT$ 8,091

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Synopsis "Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications"

The construction industry is vital to any national economy; it is also one of the industries most susceptible to workplace incidents. The unacceptably high rates of incidents in construction have huge socio-economic consequences for the victims, their families and friends, co-workers, employers and society at large. Construction safety researchers have introduced numerous strategies, models and tools through scientific inquiries involving primary data collection and analyses. While these efforts are commendable, there is a huge potential to create new knowledge and predictive models to improve construction safety by utilising already existing data about workplace incidents. In this new book, Imriyas Kamardeen argues that more sophisticated approaches need to be deployed to enable improved analyses of incident data sets and the extraction of more valuable insights, patterns and knowledge to prevent work injuries and illnesses.The book aims to apply data mining and analytic techniques to past workplace incident data to discover patterns that facilitate the development of innovative models and strategies, thereby improving work health, safety and well-being in construction, and curtailing the high rate of incidents. It is essential reading for researchers and professionals in construction, health and safety and anyone interested in data analytics.

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